Adaptive Filter Theory, 4e

By Simon Haykin. ISBN 0-13-090126-1.
This book covers both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. Topics covered include stochastic processes, Wiener filters, linear prediction, least-mean-square adaptive filters, finite-precision effects, and blind deconvolution. New features ot this fourth-edition text include in-depth treatment of adaptive filters, major revision of the supplemental MATLAB M-files, expanded treatment of normalized LMS filters, and introduction of sub-band adaptive filters.